| Project Name | CHEM361IndividualProjectCJL_Mutant89 |
| Project Name | CHEM361IndividualProjectCJL_Mutant89 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 116.7 | 99.5 | 65.8 | 60.8 | 59.7 | 54.8 | 51.7 | 41.6 | 41.0 | 39.6 | 29.3 | 16.3 |
| Cluster size | 350 | 279 | 204 | 192 | 171 | 149 | 164 | 136 | 117 | 111 | 81 | 46 |
| Average cluster RMSD | 3.0 | 2.8 | 3.1 | 3.2 | 2.9 | 2.7 | 3.2 | 3.3 | 2.9 | 2.8 | 2.8 | 2.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.02 | 3.94 | 3.55 | 4.21 | 5.22 | 5.30 | 4.81 | 4.92 | 4.64 | 3.88 | 6.46 | 6.78 |
| GDT_TS | 0.57 | 0.60 | 0.64 | 0.63 | 0.55 | 0.52 | 0.64 | 0.63 | 0.52 | 0.68 | 0.49 | 0.50 |
The table contains RMSD and GDT_TS values (calculated on the Cα atoms) between the predicted models and the input structure. Note that GDT_TS metric is intended as a more accurate measurement than the more common RMSD.
Read more about the root-mean-square deviation (RMSD) measure
Read more about the global distance test (GDT, also written as GDT_TS to represent "total score") measure.
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 1 | 0.00 | 0.71 | 2.66 | 3.89 | 3.16 | 2.76 | 3.46 | 4.16 | 1.66 | 3.17 | 4.12 | 5.24 |
| 2 | 0.71 | 0.00 | 2.42 | 3.77 | 3.24 | 2.85 | 3.45 | 3.96 | 1.93 | 2.80 | 4.12 | 5.42 |
| 3 | 2.66 | 2.42 | 0.00 | 2.72 | 3.72 | 3.82 | 3.02 | 3.00 | 3.37 | 2.34 | 4.67 | 5.21 |
| 4 | 3.89 | 3.77 | 2.72 | 0.00 | 4.32 | 4.52 | 2.88 | 3.51 | 4.81 | 3.94 | 5.12 | 5.36 |
| 5 | 3.16 | 3.24 | 3.72 | 4.32 | 0.00 | 2.20 | 3.16 | 4.41 | 3.03 | 3.98 | 3.68 | 5.59 |
| 6 | 2.76 | 2.85 | 3.82 | 4.52 | 2.20 | 0.00 | 3.15 | 4.66 | 2.49 | 4.35 | 3.26 | 5.56 |
| 7 | 3.46 | 3.45 | 3.02 | 2.88 | 3.16 | 3.15 | 0.00 | 3.32 | 3.81 | 3.55 | 4.00 | 5.28 |
| 8 | 4.16 | 3.96 | 3.00 | 3.51 | 4.41 | 4.66 | 3.32 | 0.00 | 4.67 | 2.88 | 3.67 | 4.04 |
| 9 | 1.66 | 1.93 | 3.37 | 4.81 | 3.03 | 2.49 | 3.81 | 4.67 | 0.00 | 3.70 | 3.98 | 5.52 |
| 10 | 3.17 | 2.80 | 2.34 | 3.94 | 3.98 | 4.35 | 3.55 | 2.88 | 3.70 | 0.00 | 4.67 | 5.71 |
| 11 | 4.12 | 4.12 | 4.67 | 5.12 | 3.68 | 3.26 | 4.00 | 3.67 | 3.98 | 4.67 | 0.00 | 4.03 |
| 12 | 5.24 | 5.42 | 5.21 | 5.36 | 5.59 | 5.56 | 5.28 | 4.04 | 5.52 | 5.71 | 4.03 | 0.00 |
The table contains RMSD values (calculated on the Cα atoms) between the predicted models.
Read more about the root-mean-square deviation (RMSD) measure.
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 1 | 1.00 | 0.97 | 0.70 | 0.68 | 0.66 | 0.66 | 0.67 | 0.64 | 0.88 | 0.67 | 0.64 | 0.74 |
| 2 | 0.97 | 1.00 | 0.75 | 0.71 | 0.66 | 0.69 | 0.67 | 0.69 | 0.80 | 0.71 | 0.64 | 0.73 |
| 3 | 0.70 | 0.75 | 1.00 | 0.79 | 0.67 | 0.62 | 0.68 | 0.79 | 0.63 | 0.78 | 0.57 | 0.65 |
| 4 | 0.68 | 0.71 | 0.79 | 1.00 | 0.60 | 0.59 | 0.76 | 0.85 | 0.64 | 0.77 | 0.57 | 0.64 |
| 5 | 0.66 | 0.66 | 0.67 | 0.60 | 1.00 | 0.76 | 0.72 | 0.59 | 0.69 | 0.61 | 0.68 | 0.62 |
| 6 | 0.66 | 0.69 | 0.62 | 0.59 | 0.76 | 1.00 | 0.73 | 0.62 | 0.71 | 0.58 | 0.83 | 0.66 |
| 7 | 0.67 | 0.67 | 0.68 | 0.76 | 0.72 | 0.73 | 1.00 | 0.72 | 0.66 | 0.72 | 0.61 | 0.62 |
| 8 | 0.64 | 0.69 | 0.79 | 0.85 | 0.59 | 0.62 | 0.72 | 1.00 | 0.58 | 0.81 | 0.60 | 0.63 |
| 9 | 0.88 | 0.80 | 0.63 | 0.64 | 0.69 | 0.71 | 0.66 | 0.58 | 1.00 | 0.60 | 0.68 | 0.76 |
| 10 | 0.67 | 0.71 | 0.78 | 0.77 | 0.61 | 0.58 | 0.72 | 0.81 | 0.60 | 1.00 | 0.51 | 0.61 |
| 11 | 0.64 | 0.64 | 0.57 | 0.57 | 0.68 | 0.83 | 0.61 | 0.60 | 0.68 | 0.51 | 1.00 | 0.64 |
| 12 | 0.74 | 0.73 | 0.65 | 0.64 | 0.62 | 0.66 | 0.62 | 0.63 | 0.76 | 0.61 | 0.64 | 1.00 |
The table contains GDT_TS values (calculated on the Cα atoms) between the predicted models.
Read more about the global distance test (GDT, also written as GDT_TS to represent "total score") measure.
© Laboratory of Theory of Biopolymers, Faculty of Chemistry, University of Warsaw 2013